NLP Library

Olsson F.  2008.  Bootstrapping Named Entity Annotation by Means of Active Machine Learning.

Nyberg K, Raiko T, Tiinanen T, Hyvönen E.  2010.  Document classification utilising ontologies and relations between documents. Eighth Workshop on Mining and Learning with Graphs. :86–93.

Nyberg E, Riebling E, Wang RC, Frederking R.  2008.  Integrating a Natural Language Message Pre-Processor with UIMA.

Nyberg K.  2011.  Document Classification Using Machine Learning and Ontologies.

Nivre J.  2005.  Dependency grammar and dependency parsing.

Nivre J.  2002.   What kinds of trees grow in Swedish soil? A comparison of four annotation schemes for Swedish First Workshop on Treebanks and Linguistic Theories (TLT2002).

Nivre J.  2006.  Inductive Dependency Parsing. Text, Speech and Language Technology. :216.

Neviarouskaya A.  2011.  Compositional Approach for Automatic Recognition of Fine-Grained Affect, Judgment, and Appreciation in Text.

Neviarouskaya A, Tsetserukou D, Prendinger H, Kawakami N, Tachi S, Ishizuka M.  2009.  Emerging System for Affectively Charged Interpersonal Communication.

Neviarouskaya A, Prendinger H, Ishizuka M.  2007.  Textual Affect Sensing for Sociable and Expressive Online Communication. Affective Computing and Intelligent Interaction. 4738:218-229.

Neviarouskaya A, Prendinger H, Ishizuka M.  2010.  Recognition of Affect, Judgment, and Appreciation in Text. 23rd International Conference on Computational Linguistics (COLING'10). :806-814.

Neviarouskaya A, Prendinger H, Ishizuka M.  2010.  AM: textual attitude analysis model. NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text. :80–88.

Neviarouskaya A, Prendinger H, Ishizuka M.  2015.  Attitude Sensing in Text Based on A Compositional Linguistic Approach. Computational Intelligence. 31:256–300.

Neviarouskaya A, Prendinger H, Ishizuka M.  2011.  Affect Analysis Model: novel rule-based approach to affect sensing from text. Natural Language Engineering. 17(1):95-135.

Neviarouskaya A, Prendinger H, Ishizuka M.  2007.  Analysis of affect expressed through the evolving language of online communication. 12th international conference on Intelligent user interfaces. :278–281.

Neviarouskaya A, Prendinger H, Ishizuka M.  2009.  Semantically distinct verb classes involved in sentiment analysis. IADIS International Conference APPLIED COMPUTING 2009.

Neviarouskaya A, Prendinger H, Ishizuka M.  2010.  Recognition of Fine-Grained Emotions from Text: An Approach Based on the Compositionality Principle. Modeling Machine Emotions for Realizing Intelligence. 1:179-207.

Neviarouskaya A, Aono M.  2012.  Analyzing Sentiment Word Relations with Affect, Judgment, and Appreciation. 2nd Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2012).

Neviarouskaya A, Prendinger H, Ishizuka M.  2009.  Compositionality Principle in Recognition of Fine-Grained Emotions from Text.

Neviarouskaya A, Aono M.  2013.  Extracting Causes of Emotions from Text. International Joint Conference on Natural Language Processing.

Neviarouskaya A, Prendinger H, Ishizuka M.  2007.  Recognition of Affect Conveyed by Text Messaging in Online Communication. Online Communities and Social Computing. 4564:141-150.

Neviarouskaya A, Aono M, Prendinger H, Ishizuka M.  2014.  Intelligent Interface for Textual Attitude Analysis. ACM Transactions on Intelligent Systems and Technology. 5(3):48:1–48:20.

Nagy Á.  2012.  Contrasting French nominal terms to common language NPs – towards a rule-based term extractor. First Central European Conference in Linguistics for postgraduate Students .

Na J-C, Sui H, Khoo C, Chan S, Zhou Y.  2004.  Effectiveness of Simple Linguistic Processing in Automatic Sentiment Classification of Product Reviews. Knowledge Organization and the Global Information Society: Proceedings of the Eighth International ISKO Conference. :49-54.

Mutton A, Dras M, Wan S, Dale R.  2007.  GLEU: Automatic Evaluation of Sentence-Level Fluency. 45th Annual Meeting of the Association of Computational Linguistics.